The role of machine learning in clinical research: transforming the future of evidence generation

Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems

(2020) Stefan Langner et al.   ADVANCED MATERIALS

Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis

(2020) Peter A. Noseworthy et al.   Circulation-Arrhythmia and Electrophysiology

Challenges to the Reproducibility of Machine Learning Models in Health Care

(2020) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Improved protein structure prediction using potentials from deep learning

(2020) Andrew W. Senior et al.   NATURE

Treating health disparities with artificial intelligence

(2020) Irene Y. Chen et al.   NATURE MEDICINE

Machine learning analysis plans for randomised controlled trials: detecting treatment effect heterogeneity with strict control of type I error

(2020) James A. Watson et al.   Trials

Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials

(2020) Denise Calaprice-Whitty et al.   Therapeutic Innovation & Regulatory Science

Machine learning prediction of oncology drug targets based on protein and network properties

(2020) Zoltán Dezső et al.   BMC BIOINFORMATICS

Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

(2020) Minsik Oh et al.   BRIEFINGS IN BIOINFORMATICS

Deep learning models for electrocardiograms are susceptible to adversarial attack

(2020) Xintian Han et al.   NATURE MEDICINE

Using federated data sources and Varian Learning Portal framework to train a neural network model for automatic organ segmentation

(2020) Elena Czeizler et al.   Physica Medica-European Journal of Medical Physics

Semi-supervised encoding for outlier detection in clinical observation data

(2019) Hossein Estiri et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An automated data verification approach for improving data quality in a clinical registry

(2019) Qi Tian et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

(2019) Beata Fonferko-Shadrach et al.   BMJ Open

SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses

(2019) Adriana Tomic et al.   JOURNAL OF IMMUNOLOGY

Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

(2019) Guergana K Savova et al.   CANCER RESEARCH

Do no harm: a roadmap for responsible machine learning for health care

(2019) Jenna Wiens et al.   NATURE MEDICINE

Comparison of text processing methods in social media–based signal detection

(2019) Natalie Gavrielov‐Yusim et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions

(2019) M. Schomaker et al.   STATISTICS IN MEDICINE

A Bayesian machine learning approach for drug target identification using diverse data types

(2019) Neel S. Madhukar et al.   Nature Communications

Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

(2019) Maryam Bagherian et al.   BRIEFINGS IN BIOINFORMATICS

Estimation of clinical trial success rates and related parameters

(2018) Chi Heem Wong et al.   BIOSTATISTICS

2017 Cardiovascular and Stroke Endpoint Definitions for Clinical Trials

(2018) Karen A. Hicks et al.   CIRCULATION

Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes

(2018) Matthew M. Kalscheur et al.   Circulation-Arrhythmia and Electrophysiology

Yield and bias in defining a cohort study baseline from electronic health record data

(2018) Jason L. Vassy et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The proposed ‘concordance-statistic for benefit’ provided a useful metric when modeling heterogeneous treatment effects

(2018) David van Klaveren et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Relapse prediction in schizophrenia through digital phenotyping: a pilot study

(2018) Ian Barnett et al.   NEUROPSYCHOPHARMACOLOGY

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

(2018) Jinsung Yoon et al.   PLoS One

Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases

(2018) T. Wendling et al.   STATISTICS IN MEDICINE

Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials

(2018) Joseph Rigdon et al.   Trials

Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks

(2018) Arnaud Moreau et al.   IEEE Journal of Biomedical and Health Informatics

Controlling an organic synthesis robot with machine learning to search for new reactivity

(2018) Jarosław M. Granda et al.   NATURE

Fusion of Heart Rate, Respiration and Motion Measurements from a Wearable Sensor System to Enhance Energy Expenditure Estimation

(2018) Ke Lu et al.   SENSORS

Activity Recognition Invariant to Wearable Sensor Unit Orientation Using Differential Rotational Transformations Represented by Quaternions

(2018) Aras Yurtman et al.   SENSORS

Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study

(2018) Ying Cheung et al.   SENSORS

Machine Learning and Health Care Disparities in Dermatology

(2018) Adewole S. Adamson et al.   JAMA Dermatology

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

(2018) Tom J. Pollard et al.   Scientific Data

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

Guidelines for reinforcement learning in healthcare

(2018) Omer Gottesman et al.   NATURE MEDICINE

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

(2018) Matthieu Komorowski et al.   NATURE MEDICINE

3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data

(2017) Yuan Luo et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Biases introduced by filtering electronic health records for patients with “complete data”

(2017) Griffin M Weber et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy

(2017) Daniel L. Labovitz et al.   STROKE

Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia

(2017) Earle E Bain et al.   JMIR mHealth and uHealth

Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study

(2017) Megan Doerr et al.   JMIR mHealth and uHealth

Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies

(2016) Megan S. Schuler et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments

(2016) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Data interchange using i2b2

(2016) Jeffrey G Klann et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Real-World Accuracy and Use of a Wearable Fall Detection Device by Older Adults

(2015) Shomir Chaudhuri et al.   JOURNAL OF THE AMERICAN GERIATRICS SOCIETY

Personalized medicine: Time for one-person trials

(2015) Nicholas J. Schork   NATURE

Identification of type 2 diabetes subgroups through topological analysis of patient similarity

(2015) Li Li et al.   Science Translational Medicine

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

The future is now: Model-based clinical trial design for Alzheimer's disease

(2015) K Romero et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner

(2014) Romain Pirracchio et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Bridging Islands of Information to Establish an Integrated Knowledge Base of Drugs and Health Outcomes of Interest

(2014) Richard D. Boyce et al.   DRUG SAFETY

Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer

(2011) Yufan Zhao et al.   BIOMETRICS

The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies

(2011) Catherine A McCarty et al.   BMC Medical Genomics

Validation of a common data model for active safety surveillance research

(2011) J Marc Overhage et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION